A transformer-based three-stage neural network pipeline filters Baikal-GVD data to suppress air showers and noise while selecting neutrino candidates faster and more accurately than standard methods, using domain adaptation to handle simulation-to-data shifts.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
astro-ph.IM 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
From raw data to neutrino candidates: a neural-network pipeline for Baikal-GVD
A transformer-based three-stage neural network pipeline filters Baikal-GVD data to suppress air showers and noise while selecting neutrino candidates faster and more accurately than standard methods, using domain adaptation to handle simulation-to-data shifts.